A knowledge-driven vowel-based approach of depression classification from speech using data augmentation

Kexin Feng, Theodora Chaspari

We propose a novel explainable machine learning (ML) model that identifies depression from speech, by modeling the temporal dependencies across utterances and utilizing the spectro…